library(testthat) library(recipes) # ------------------------------------------------------------------------------ iris_rec <- recipe(~., data = iris) # ------------------------------------------------------------------------------ test_that("basic usage", { rec <- iris_rec %>% step_slice(1:5) prepped <- prep(rec, training = iris %>% slice(1:75)) dplyr_train <- iris %>% as_tibble() %>% slice(1:75) %>% slice(1:5) rec_train <- bake(prepped, new_data = NULL) expect_equal(dplyr_train, rec_train) dplyr_test <- iris %>% as_tibble() %>% slice(76:150) dplyr_test <- dplyr_test[, names(rec_train)] rec_test <- bake(prepped, iris %>% slice(76:150)) expect_equal(dplyr_test, rec_test) }) test_that("skip = FALSE", { rec <- iris_rec %>% step_slice(1:5, skip = FALSE) prepped <- prep(rec, training = iris %>% slice(1:75)) dplyr_train <- iris %>% as_tibble() %>% slice(1:75) %>% slice(1:5) rec_train <- bake(prepped, new_data = NULL) expect_equal(dplyr_train, rec_train) dplyr_test <- iris %>% as_tibble() %>% slice(76:150) %>% slice(1:5) rec_test <- bake(prepped, iris %>% slice(76:150)) expect_equal(dplyr_test, rec_test) }) test_that("quasiquotation", { values <- 1:5 rec_1 <- iris_rec %>% step_slice(values) prepped_1 <- prep(rec_1, training = iris %>% slice(1:75)) dplyr_train <- iris %>% as_tibble() %>% slice(1:75) %>% slice(values) rec_1_train <- bake(prepped_1, new_data = NULL) expect_equal(dplyr_train, rec_1_train) expect_error( rec_2 <- iris_rec %>% step_slice(!!values), regexp = NA ) prepped_2 <- prep(rec_2, training = iris %>% slice(1:75)) rm(values) expect_snapshot(error = TRUE, prep(rec_1, training = iris %>% slice(1:75)) ) expect_error( prepped_2 <- prep(rec_2, training = iris %>% slice(1:75)), regexp = NA ) rec_2_train <- bake(prepped_2, new_data = NULL) expect_equal(dplyr_train, rec_2_train) }) # Infrastructure --------------------------------------------------------------- test_that("bake method errors when needed non-standard role columns are missing", { # Here for completeness # step_slice() is special as it doesn't care about the incoming data expect_true(TRUE) }) test_that("empty printing", { rec <- recipe(mpg ~ ., mtcars) rec <- step_slice(rec) expect_snapshot(rec) rec <- prep(rec, mtcars) expect_snapshot(rec) }) test_that("empty selection prep/bake is a no-op", { rec1 <- recipe(mpg ~ ., mtcars) rec2 <- step_slice(rec1) rec1 <- prep(rec1, mtcars) rec2 <- prep(rec2, mtcars) baked1 <- bake(rec1, mtcars) baked2 <- bake(rec2, mtcars) expect_identical(baked1, baked2) }) test_that("empty selection tidy method works", { rec <- recipe(mpg ~ ., mtcars) rec <- step_slice(rec) expect <- tibble(terms = character(), id = character()) expect_identical(tidy(rec, number = 1), expect) rec <- prep(rec, mtcars) expect_identical(tidy(rec, number = 1), expect) }) test_that("printing", { rec <- recipe(~., data = iris) %>% step_slice(1:2) expect_snapshot(print(rec)) expect_snapshot(prep(rec)) })